AWS AI POC Zoom Coaching

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you’re building real-time proof-of-concepts on AWS that utilize Agentic AI techniques. It sounds like an exciting project with a focus on leveraging AI capabilities effectively. I’ve worked on several AI-driven projects using AWS services like Lambda and SageMaker, so I understand the key technical challenges involved. I’d be happy to go through the details and suggest the best technical approach. I have a few questions to get a better understanding: Q1 – What specific features do you envision for the AI models in your POC? Q2 – Are there any existing systems or data sources you plan to integrate with? Q3 – What are your expectations regarding scalability and user roles for this project? Looking forward to hearing from you.

@tangramua

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@salmanullahbaig

This is exactly the kind of work I enjoy, as it involves architecting and deploying proof-of-concepts on AWS, specifically using Agentic AI techniques like Agent Core and Strands agents, which I've worked with in the past, and I recall a similar project where I helped a client deploy a real-time AI model on SageMaker, that's why I think I can help you with this project, you mentioned using native services like Lambda and Step Functions, I've experience with those too, I'd like to know more about the high-level product ideas you have, what kind of demos are you envisioning, let's schedule a Zoom session to discuss further. Happy to share more about my approach — just send me a message.

@kamran2012

Good to see this project, I will guide you through each POC live on Zoom — architecting agent workflows with Strands, wiring up Lambda and Step Functions, and deploying working demos on AWS. You drive the keyboard while I direct every decision in real time. One thing I will set up early: a shared CloudFormation template per POC so every resource is reproducible with a single command — no manual console clicks to remember later. Questions: 1) How many POCs are you targeting in total? 2) Are your Strands agents using Bedrock models or custom SageMaker endpoints? Send me a message and we can go over the details. Best regards, Kamran

@santoshkumars17

As an experienced Full Stack Developer, I've had the privilege of working on diverse projects covering development, deployment, and troubleshooting as you're seeking. In line with your project, my proficiency in Node.js aligns perfectly with building the AWS Agent Core and Strands agents proof-of-concepts you need. My specialty includes backend development which makes me well-equipped to handle your AI-based POC requirements using AWS native services such as SageMaker, Lambda, and Step Functions. One of the standout features of my approach is my collaborative teaching style which focuses on ensuring that my clients gain know-how alongside getting their projects completed. This is a skill that I believe will be particularly valuable for our Zoom sessions as we build each POC together. Beyond just offering solutions during our sessions, my commitment to providing clear, in-depth notes and commands after each session sets me apart. These will not only help you iterate on the project later but also serve as valuable learning material. With a track record of clean code, on-time deliveries, and end-to-end development support, one thing is certain: my partnership with you would create something amazing together - laying a solid foundation for your AI-driven AWS journey! Let's dive in and get started!

@alizain721

Agent Core and Strands agents are exactly the right choice for multi-step, real-time POCs — I can jump on Zoom, share screens, and walk you through building them on AWS end-to-end. The real challenge isn’t just wiring agents together; it’s making orchestration reliable and observable under live-demo conditions — low-latency inference, clear retries, and least-privilege IAM so you don’t hit surprises during a demo. I recently built a demo agentic document assistant that used SageMaker endpoints for inference, Step Functions for orchestration, and Lambda fallbacks — delivered as a live, reproducible demo for stakeholders. How I’ll work: we’ll review your first POC architecture, I’ll guide you as you drive the keyboard to provision infra (CDK/CloudFormation), deploy models (SageMaker or serverless inference), wire Step Functions and Lambdas, tighten IAM, and add CloudWatch logs/metrics. At the end I’ll hand over concise commands/notes and can export the Zoom recording if you want. Quick question: what’s the first POC use case and which inference path do you prefer — SageMaker endpoint, containerized model on ECS/Fargate, or API-based (OpenAI/HF)? Also, do you have SageMaker quotas/IAM admin access already?

@techsty2014

I can help with this, I will join 1:1 Zoom sessions for each POC: live architecture, screen-share while you drive, troubleshooting logs and IAM, refactoring Strands agent logic. AWS deployment + reproducible notes + recording where exportable. Two AWS habits. Develop Strands locally first (Python venv + SDK) before Lambda; saves IAM debugging cycles. During POC, default LLM calls to Bedrock pay-per-use instead of SageMaker endpoints. Questions: 1) Time zone and hours/week? 2) Existing AWS account or fresh setup? Ready to start whenever you are. Faizan

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I recently guided a client through building and deploying an AI-driven interactive chatbot system using AWS Lambda and SageMaker, which worked smoothly by emphasizing hands-on, step-by-step learning. The most crucial part to successfully complete your AWS AI POC project lies in clear, real-time collaboration combined with precise AWS service architecture tailored to Agentic AI needs. ⭕ I will: - Join live 1:1 Zoom sessions, sharing screens to guide you hands-on. - Architect, code, and deploy each POC on AWS SageMaker, Lambda, and Step Functions. - Troubleshoot live by diagnosing logs, optimizing performance, and refining agent logic. - Provide concise documentation of commands and steps for easy reproducibility. - Optionally record sessions for your future reference. ❓ Could you clarify which Agent Core or Strands agent versions you are currently using? ❓ What AWS region are you deploying in? ❓ Any existing IAM policies or constraints I should be aware of? I am confident my expertise in AWS AI deployments and live coaching will get your POCs running smoothly, empowering you with the skills to build future projects independently. Looking forward to our collaboration. Best regards, Nam

@Hubready

Hello! I am a US-based senior software engineer with extensive experience in AI and cloud solutions. I carefully read your project description regarding the AWS AI POC coaching and understand the importance of leveraging Agentic AI techniques for your proofs of concept. With over 15 years in the field, I have the expertise to guide you through developing robust, scalable AI solutions. To ensure we align perfectly, could you please clarify the following questions to help me better understand the project? 1. What specific AI techniques or models are you looking to implement in your proofs of concept? 2. Are there any particular challenges you've faced so far that I should be aware of? I have successfully built and scaled various AI and automation projects, including intelligent workflow automation and AI-powered internal tools. My experience with AWS services like Lambda and SageMaker, combined with Python and Node.js, makes me the right fit for your needs. To achieve your project goals, I suggest breaking down the work into phases: initial assessments, model development, and iterative testing. This structured approach will help ensure we meet your objectives efficiently. I look forward to the opportunity to discuss this project further. Best, James Zappi

@kishanbwts

I’ve helped clients build AI demos on AWS with live coding sessions that blend teaching and troubleshooting, so I know how critical it is to keep momentum while you learn hands-on. For your Agentic AI POCs, I’d start by mapping your existing product ideas to the best AWS services—likely SageMaker for model hosting and Lambda plus Step Functions for orchestration. Would you want to integrate continuous logging to catch issues during the demo? Also, how do you plan to handle agent state persistence across executions? Setting that up cleanly will save time debugging. During each call, I’ll guide you step-by-step through deployment, IAM role adjustments, and performance tuning, making sure you’re driving every change. I’ll also compile succinct notes or scripts that let you reproduce everything independently. If helpful, I can record the session so you can revisit workflows and speed up your next iterations. Ready to jump on Zoom and get your first POC deployed this week.